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首页> 外文期刊>International Journal of Pharmaceutical Sciences and Research >SELECTING PROTEIN STRUCTURE/S FOR DOCKING-BASED VIRTUAL SCREENING: A CASE STUDY ON TYPE II INHIBITORS OF VEGFR-2 KINASE
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SELECTING PROTEIN STRUCTURE/S FOR DOCKING-BASED VIRTUAL SCREENING: A CASE STUDY ON TYPE II INHIBITORS OF VEGFR-2 KINASE

机译:基于对接虚拟筛选的蛋白质结构选择:以VEGFR-2激酶II型抑制剂为例

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摘要

In this study, 36 crystal structures available with type I-V inhibitors of VEGFR-2 kinase in the RCSB PDB were classified into DFG-in/-out conformation using visual analysis and KLIFS database. The focus was on Type II inhibitors as most kinase inhibitors belong to this category. Therefore, the crystal structures with DFG-out confirmation with a type II inhibitor were selected depending on the resolution and r-free value. 11 selected crystal structures were subjected to self-docking studies and interaction analysis, leading to the elimination of one crystal structure viz. PDB id 3U6J. 10 crystal structures were subjected to cross-docking analysis. No crystal structures were eliminated at this stage as 50% ligands were docked accurately at RMSD cut off ≤ 2?. These structures were further evaluated for screening performance by calculation of five performance indicating terms. A rank order was established by performance terms. The next stage of selection was the calculation of enrichment factor and assessment of the number of chemical classes retrieved after docking of the DUD set along with actives. Considering the EF values and the rank order of performance terms; 5 crystal structures were eliminated. Lastly, advanced enrichment parameters such as ROC, AUC, RIE, the average number of outranked decoys, and BEDROC were calculated for the remaining 5 structures. After considering all the stages of evaluation, 4ASE was identified as the most suitable crystal structure.
机译:在这项研究中,使用视觉分析和KLIFS数据库将RCSB PDB中具有VEGFR-2激酶I-V型I-V抑制剂的36种晶体结构分为DFG输入/输出构象。重点放在II型抑制剂上,因为大多数激酶抑制剂都属于此类。因此,根据分辨率和无r值选择具有II型抑制剂的DFG-out确认的晶体结构。对11个选定的晶体结构进行了对接研究和相互作用分析,从而消除了一种晶体结构。 PDB ID 3U6J。对10个晶体结构进行交叉对接分析。在此阶段没有消除晶体结构,因为50%的配体在RMSD截止值≤2Ω处精确对接。通过计算五个性能指示项,进一步评估了这些结构的筛选性能。通过性能术语确定了等级顺序。选择的下一个阶段是富集因子的计算和DUD集与活性成分对接后评估检索到的化学类别数。考虑EF值和绩效术语的排名顺序;消除了5个晶体结构。最后,针对剩余的5种结构计算了高级富集参数,例如ROC,AUC,RIE,劣等诱饵的平均数量和BEDROC。考虑了所有评估阶段后,确定4ASE为最合适的晶体结构。

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